Technology
At Synaptrix, we are creating new kinds of AI to push the frontier of non-invasive brain-computer interfaces. We believe that within this decade, our systems will reach capabilities comparable to implants.
Our Research Partners
Generative Neuroscience™
Electroencephalography has historically been limited by noise, low spatial resolution, and variability between subjects. These challenges have often been treated as physical constraints.
Generative Neuroscience is our research framework for reconstructing high-resolution neural representations from non-invasive EEG recordings. By learning the canonical structures underlying cortical activity, our models are able to understand true neural intent no-invasively
NeuroDiffusion™
NeuroDiffusion is a real time, deep learning architecture that treats EEG as a high dimensional dynamical system to be modeled, reconstructed, and aligned at scale. Instead of relying on conventional bandpass filtering or shallow classifiers, it learns the true structure of neural activity itself, separating cortical intent from motion artifacts, muscle noise, environmental interference, and device instability through large scale diffusion models trained across massive datasets.
The result is a stable neural embedding space that supports low latency decoding for prosthetic control, wheelchair navigation, communication interfaces, and fully programmable brain driven applications. Synaptrix has introduced a new category of brain foundation models / neuro AI infrastructure that moves beyond academic prototypes toward deployable, real world brain interfaces, marking a step change in how non-invasive neural systems can be trained, generalized, and scaled.
Cortex™
Cortex is our continuously expanding neural data engine, a unified brain data lake that brings together decades of published electrophysiology datasets with real-time signals from Synaptrix devices. Using self-supervised learning and large-scale neural representation models, Cortex normalizes signals across modalities and automatically learns their underlying structure, transforming fragmented research datasets and live neural data into a coherent, searchable corpus for understanding the brain.
Cortex is an unmatched data moat, enabling the training of large brain foundation models at a scale and diversity no single lab, hospital, or company can replicate, and positioning Cortex as the most comprehensive neural dataset ever assembled for building next generation brain interfaces
Atlas™
Our next generation neural interface designed to record brain activity from the motor cortex using non-invasive EEG. Built for continuous use, Atlas combines high density neural sensing with a lightweight wireless architecture that allows natural movement while maintaining clinical grade signal stability.
High-Density EEG
Motor cortex optimized neural sensing.
Wireless Architecture
Cable-free design for natural movement.
Clinical-Grade Monitoring
Reliable neural data collection for research.
